Bang Xiang Yong is a Yang di-Pertuan Agong (King of Malaysia) scholar pursuing a PhD degree within the Distributed Information and Automation Laboratory (DIAL) under the supervision of Dr. Alexandra Brintrup, and is a member of Churchill College. He obtained his B.Eng in Electrical-Electronics (2017) from Universiti Teknologi Malaysia and was awarded the Chancellor’s Award for his outstanding achievements in academic and co-curricular activities.

He is interested in probabilistic deep learning methods and has contributed to the development of Bayesian Autoencoders in three ways: formulation and design, uncertainty quantification, and explainability. He is also the lead developer of baetorch and agentMET4FOF Python packages. In addition, he conducts courses on deep learning for postgraduate students. He has also served as a reviewer for IEEE journals.

Research Interests

• Bayesian autoencoders
• Deep learning
• Artificial Intelligence
• Anomaly detection
• Industry 4.0

Previous Works

• 2017-2018 – Multiple projects at IfM: VR for Robot lab, Hybrid Web/Mobile applications for Centre for International Manufacturing
• 2018 - Research intern at Academia Sinica (National Academy of Taiwan): worked on applications of Deep Learning LSTM and Reinforcement Learning for text analysis.
• 2016 - Research intern at University of Cambridge, Dept. of Obstetrics and Gynaecology: developed software applications under supervision of Dr Ulla Sovio and Dr Sung Gong.
• 2014 - Intern at Intel, Internet of Things group: worked on  Smart Factory, Smart Restroom and Smart City

Publications

1. Bang Xiang Yong and Alexandra Brintrup. "Bayesian autoencoders with uncertainty quantification: Towards trustworthy anomaly detection". In: Expert systems with Applications (2022).
2. Bang Xiang Yong and Alexandra Brintrup. "Coalitional Bayesian autoencoders: Towards explainable unsupervised deep learning with applications to condition monitoring under covariate shift". In: Applied Soft Computing (2022).
3. Bang Xiang Yong and Alexandra Brintrup. "Do autoencoders need a bottleneck for anomaly detection?". In: IEEE Access (2022).
4. Bang Xiang Yong, Tim Pearce, and Alexandra Brintrup. "Bayesian autoencoders: Analysing and fixing the Bernoulli likelihood for out-of-distribution detection". In International Conference on Machine Learning (ICML) Workshop on Uncertainty and Robustness in Deep Learning, 2020.
5. Bang Xiang Yong, Yasmin Fathy, and Alexandra Brintrup. "Bayesian autoencoders for drift detection in industrial environments". In 2020 IEEE International Workshop on Metrology for Industry 4.0 & IoT, pages 627–631. IEEE, 2020.
6. Bang Xiang Yong and Alexandra Brintrup. "Multi agent system for machine learning under uncertainty in cyber physical manufacturing system". In International Workshop on Service Orientation in Holonic and Multi-Agent Manufacturing, pages 244–257. Springer, 2019.
7. Bang Xiang Yong, Mohd Rozaini Abdul Rahim, and Ahmad Shahidan Abdullah. "A stock market trading system using deep neural network."Asian simulation conference. Springer, Singapore, 2017.
8. Sen, Sim Lee, Bang Xiang Yong, Eileen Su Lee Ming, Khor Kang Xiang, and Qamer Iqbal Khan. "Enhancing effectiveness of virtual reality rehabilitation system: Durian Runtuh." In 2015 10th Asian Control Conference (ASCC), pp. 1-6. IEEE, 2015.

Awards

1. Yang di-Pertuan Agong (King of Malaysia) Scholarship for PhD in Engineering at University of Cambridge
2. Chancellor’s Award from Her Majesty Raja Zarith Sofiah, Queen of Johor (2017)
3. Finalist, Mobile Challenge Asia Pacific (MCAP) 2015 (USA)
4. Pitching Award, Asia Pacific Assistive, Rehabilitative & Therapeutic Technologies (AR&TTs) Challenge 2015 (Singapore)
5. Top 25 Finalist, ESPRIEX Business Model Canvas Competition 2017 (Indonesia)
6. 1st Prize, Imagine Cup Malaysia 2014
7. 2^nd Prize, Imagine Cup Malaysia 2017
8. 2^ndPrize, Innopitch UTM 2014
9. 2^nd Prize, Malaysian Assistive, Rehabilitative & Therapeutic Technologies (AR&TTs) Challenge and Symposium 2014
10. Consolation Prize, Top 20 Finalist National Blue Ocean Strategy 2017 Competition (NBOS), Malaysia
11. 1^st Prize Winner, Startup Weekend Johor 2016
12. 2^nd Prize Winner, Innopitch UTM 2016
13. 1^st Prize Winner, University App Challenge 2017

News media appearances

1. From UTM to Cambridge (Universiti Teknologi Malaysia, January 2018)
2. UTM Alumnus receives YDPA Scholarship to pursue PhD in University of Cambridge (Universiti Teknologi Malaysia, July 2018)
3. Muar Digital Gateway (Sin Chew, 4 May 2017)
4. UTM cipta apps cegah denggi (Harian Metro, 3 June 2015)
5. University students come up with smart way to identify dengue hotspots (TheStar June 2015)
6. From Students to Entrepreneurs (TheStar, 17 Oct 2014)